use a suitable random generator approach

  1. The [Pima Indians Diabetes Database] (Pima Indians Diabetes Database | Kaggle) data failed to fulfill the assumptions of regression analysis.

  2. The issues are how to use a suitable random generator approach to solve the issues so that the modified data will meet the requirements of regression analysis.

  3. Question: How to conduct a random generator in R so that I can get the Pima Indians Diabetes Database that fulfills the assumptions of regression analysis.

your point 2 and 3 seem to be the same content with different words... or is there a relevant difference ?

Some questions for you ...
What assumptions of regression analysis are you referring to? How do you know that those assumptions are violated by the database in question ?
how might a 'suitable random generator' address those defects ?

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